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Automated prawn length measurement with a mobile camera platform: A step toward robotic aquaculture monitoring

https://doi.org/10.2139/ssrn.6514825
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inferredcites →https://doi.org/10.1002/ece3.6618openalex-snapshot
Applications of deep convolutional neural networks to predict length, circumference, and weight from mostly dewatered images of fish
inferredcites →https://doi.org/10.1006/cviu.2000.0847openalex-snapshot
Estimating Dimensions of Free-Swimming Fish Using 3D Point Distribution Models
inferredcites →https://doi.org/10.1007/978-3-030-03635-5_2openalex-snapshot
Camera Calibration Techniques for Accurate Measurement Underwater
inferredcites →https://doi.org/10.1007/s11042-024-19180-1openalex-snapshot
Automatic measurement of fish from images using convolutional neural networks
inferredcites →https://doi.org/10.1016/j.aaf.2023.03.006openalex-snapshot
A compact underwater stereo vision system for measuring fish
inferredcites →https://doi.org/10.1016/j.aquaculture.2017.07.039openalex-snapshot
All-female monosex culture in the freshwater prawn Macrobrachium rosenbergii – A comparative large-scale field study
inferredcites →https://doi.org/10.1016/j.aquaculture.2023.740377openalex-snapshot
All-female crayfish populations for biocontrol and sustainable aquaculture
inferredcites →https://doi.org/10.1016/j.aquaeng.2017.07.003openalex-snapshot
An automated vision system for measurement of zebrafish length using low-cost orthogonal web cameras
inferredcites →https://doi.org/10.1016/j.aquaeng.2019.01.005openalex-snapshot
Automatic Bluefin Tuna (Thunnus thynnus) biomass estimation during transfers using acoustic and computer vision techniques
inferredcites →https://doi.org/10.1016/j.aquaeng.2022.102227openalex-snapshot
Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera
inferredcites →https://doi.org/10.1016/j.biosystemseng.2022.07.006openalex-snapshot
Automatic measuring shrimp body length using CNN and an underwater imaging system
inferredcites →https://doi.org/10.1016/j.compag.2018.04.005openalex-snapshot
Enhanced fish bending model for automatic tuna sizing using computer vision
inferredcites →https://doi.org/10.1016/j.compag.2018.05.025openalex-snapshot
Automated within tank fish mass estimation using infrared reflection system
inferredcites →https://doi.org/10.1016/j.compag.2020.105274openalex-snapshot
Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia
inferredcites →https://doi.org/10.1016/j.fishres.2006.04.009openalex-snapshot
Automated measurement of species and length of fish by computer vision
inferredcites →https://doi.org/10.1016/j.fishres.2012.06.011openalex-snapshot
Assessing size, abundance and habitat preferences of the Ocean Perch Helicolenus percoides using a AUV-borne stereo camera system
inferredcites →https://doi.org/10.1016/j.fishres.2019.105425openalex-snapshot
A powerful method for measuring fish size of small-scale fishery catches using ImageJ
inferredcites →https://doi.org/10.1016/j.fishres.2021.106166openalex-snapshot
Automatic, operational, high-resolution monitoring of fish length and catch numbers from landings using deep learning
inferredcites →https://doi.org/10.1016/s0016-6480(02)00031-xopenalex-snapshot
The eyestalk–androgenic gland–testis endocrine axis in the crayfish Cherax quadricarinatus
inferredcites →https://doi.org/10.1017/s0263574702004733openalex-snapshot
Computer vision and robotics techniques in fish farms
inferredcites →https://doi.org/10.1038/nmeth.2089openalex-snapshot
NIH Image to ImageJ: 25 years of image analysis
inferredcites →https://doi.org/10.1038/s41598-022-19932-9openalex-snapshot
An affordable and easy-to-use tool for automatic fish length and weight estimation in mariculture
inferredcites →https://doi.org/10.1038/s41598-024-84324-0openalex-snapshot
Key frame extraction algorithm for surveillance videos using an evolutionary approach
inferredcites →https://doi.org/10.1049/ic:19980129openalex-snapshot
Image processing for underwater measurement of salmon biomass
inferredcites →https://doi.org/10.1049/ipr2.12924openalex-snapshot
Key point detection method for fish size measurement based on deep learning
inferredcites →https://doi.org/10.1080/02755947.2016.1235632openalex-snapshot
A Paired-Laser Photogrammetric Method for In Situ Length Measurement of Benthic Fishes
inferredcites →https://doi.org/10.1093/icesjms/fsx007openalex-snapshot
Towards automating underwater measurement of fish length: a comparison of semi-automatic and manual stereo–video measurements
inferredcites →https://doi.org/10.1093/icesjms/fsz186openalex-snapshot
Automatic segmentation of fish using deep learning with application to fish size measurement
inferredcites →https://doi.org/10.1093/icesjms/fsz216openalex-snapshot
Image-based, unsupervised estimation of fish size from commercial landings using deep learning
inferredcites →https://doi.org/10.1109/access.2022.3185753openalex-snapshot
Intelligent Underwater Stereo Camera Design for Fish Metric Estimation Using Reliable Object Matching
inferredcites →https://doi.org/10.1109/itqmtis58985.2023.10346423openalex-snapshot
Real-Time System for Detection Hidden and Visible Keypoints of Rainbow Trout
inferredcites →https://doi.org/10.1109/ssci47803.2020.9308594openalex-snapshot
Convolutional Neural Network for Blur Images Detection as an Alternative for Laplacian Method
inferredcites →https://doi.org/10.1111/2041-210x.13282openalex-snapshot
Using machine vision to estimate fish length from images using regional convolutional neural networks
inferredcites →https://doi.org/10.1111/jai.13134openalex-snapshot
Measuring fish length and assessing behaviour in a high-biodiversity reach of the Upper Yangtze River using an acoustic camera and echo sounder
inferredcites →https://doi.org/10.1111/raq.12388openalex-snapshot
Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review
inferredcites →https://doi.org/10.1111/raq.12919openalex-snapshot
Advances in the application of stereo vision in aquaculture with emphasis on fish: A review
inferredcites →https://doi.org/10.1136/bmj.312.7047.1654openalex-snapshot
Statistics notes: Measurement error
inferredcites →https://doi.org/10.1145/3603618openalex-snapshot
Deep Learning-based Human Pose Estimation: A Survey
inferredcites →https://doi.org/10.1167/tvst.9.11.12openalex-snapshot
Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning
inferredcites →https://doi.org/10.15244/pjoes/150017openalex-snapshot
Growth Performance of Giant Freshwater Prawn (Macrobrachium Rosenbergii, De Man, 1879) in a Vertical Compartment Farming System with Different Biofilters and Varying Flow Rates
inferredcites →https://doi.org/10.18280/ria.360611openalex-snapshot
Shrimp Body Weight Estimation in Aquaculture Ponds Using Morphometric Features Based on Underwater Image Analysis and Machine Learning Approach
inferredcites →https://doi.org/10.21608/ejabf.2020.79317openalex-snapshot
On some factors affecting molting and growth rate of the giant freshwater prawn, Macrobrachium rosenbergii (De Man, 1879)
inferredcites →https://doi.org/10.2307/1548603openalex-snapshot
Morphotypic Differentiation of Male Malaysian Giant Prawns, Macrobrachium Rosenbergii
inferredcites →https://doi.org/10.3389/fmars.2023.1171625openalex-snapshot
Generalised deep learning model for semi-automated length measurement of fish in stereo-BRUVS
inferredcites →https://doi.org/10.3389/fmars.2024.1324075openalex-snapshot
Biomass estimations of cultivated kelp using underwater RGB images from a mini-ROV and computer vision approaches
inferredcites →https://doi.org/10.3390/aquacj3020012openalex-snapshot
Morphological Diversity of Different Male Morphotypes of Giant Freshwater Prawn Macrobrachium rosenbergii (De Man, 1879)
inferredcites →https://doi.org/10.3390/jmse13061167openalex-snapshot
Prototype Mobile Vision System for Automatic Length Estimation of Olive Flounder (Paralichthys olivaceus) in Indoor Aquaculture
inferredcites →https://doi.org/10.3390/s22145161openalex-snapshot
Non-Intrusive Fish Weight Estimation in Turbid Water Using Deep Learning and Regression Models
inferredcites →https://doi.org/10.3390/s25010248openalex-snapshot
Image-Based Shrimp Aquaculture Monitoring
inferredcites →https://doi.org/10.33997/j.afs.2008.21.4.008openalex-snapshot
Length-Weight Relationship, Condition Factor and Relative Condition Factor of Macrobrachium rosenbergii in Rice Fields
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